Abstract

Immersive virtual reality (VR)–based training has been widely proposed in different firms to improve the hazard recognition skills of their workforce and change their unsafe behavior. However, little is known about the impact of VR-based training on the user’s behavior and learning. With the use of structural equation modeling (SEM), this study investigated the impact of VR-based training on 60 participants, and the results supported the mediating effect of VR system features on the users’ acquisition of knowledge, behavioral intention, and satisfaction. The results also indicated that the VR system features were a significant antecedent to psychological factors (presence, motivation, enjoyment, and self-efficacy). This suggests that there are two general paths: (1) usability and fidelity (UF)–enjoyment (EJ)–behavioral intention (BI); and (2) UF–EJ–satisfaction (ST), by which VR-based safety training can have a positive impact on the users’ behavior. This study also revealed that the higher level of presence in the VR training environment would not exert a strong influence on users’ behavior. The findings of this study could help to better design VR-based training programs in a cost-effective way and thus could maximize the benefits of VR technology for industry.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This research study was supported by the General Research Fund (PolyU 15220519) from Research Grants Council, Hong Kong, and 2022 Hongik University Research Fund, Republic of Korea.

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Journal of Management in Engineering
Volume 39Issue 1January 2023

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Received: May 15, 2022
Accepted: Aug 23, 2022
Published online: Oct 20, 2022
Published in print: Jan 1, 2023
Discussion open until: Mar 20, 2023

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Postdocotral Fellow, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., 11 Yuk Choi Rd., Hung Hom, Kowloon 999077, Hong Kong SAR. ORCID: https://orcid.org/0000-0002-6889-7577. Email: [email protected]
Associate Professor, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., 11 Yuk Choi Rd., Hung Hom, Kowloon 999077, Hong Kong SAR (corresponding author). Email: [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Hongik Univ., Seoul 04066, South Korea. ORCID: https://orcid.org/0000-0001-7427-8986. Email: [email protected]
Ph.D. Student, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., 11 Yuk Choi Rd., Hung Hom, Kowloon 999077, Hong Kong SAR. ORCID: https://orcid.org/0000-0001-6297-524X. Email: [email protected]
Mitchell J. Wyllie [email protected]
Undergraduate Research Assistant, Unity Game Developer, Foxie Games, Level 2/44 Pirie St., Adelaide, SA 5000, Australia. Email: [email protected]
Senior Lecturer, Australian Research Centre for Interactive and Virtual Environments (IVE), Univ. of South Australia Science, Technology, Engineering and Mathematics (UniSA STEM), 108 North Terrace, Adelaide, SA 5001, Australia. Email: [email protected]
Mark Billinghurst [email protected]
Professor, Univ. of South Australia (UniSA), Science, Technology, Engineering and Mathematics (STEM), 108 North Terrace, Adelaide, SA 5001, Australia. Email: [email protected]

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  • VR-Based Technologies: Improving Safety Training Effectiveness for a Heterogeneous Workforce from a Physiological Perspective, Journal of Management in Engineering, 10.1061/JMENEA.MEENG-6016, 40, 5, (2024).
  • Theoretical Framework for Utilizing Eye-Tracking Data to Understand the Cognitive Mechanism of Situational Awareness in Construction Hazard Recognition, Journal of Management in Engineering, 10.1061/JMENEA.MEENG-5905, 40, 4, (2024).
  • An interactive virtual reality model for enhancing safety training in construction education, Computer Applications in Engineering Education, 10.1002/cae.22585, 31, 2, (324-345), (2022).

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